Senior Data Engineer / Data Modelling Specialist for Asset Finance Data Products

Are you motivated by shaping the data foundation for a major Asset Finance transformation and take part in turning complex system landscapes into governed, reusable data products? Asset Finance is transforming its technology and data landscape to support our growth strategy as part of the broader Forward ‘28 Ambition.

We are investing in a modern, scalable, and governed data foundation that will support Asset Finance achieve it’s business goals by enabling co-existence of legacy and new core systems, regulatory needs, business processes, reporting, analytics, and future data-driven innovation. The Tribe is responsible for establishing Asset Finance’s common logical data model, documenting and mapping system data models, defining how key business processes consume and produce data, and designing governed data products on the Databricks platform.

This work is central to creating a trusted data foundation across system landscape during and after the co-existence period. Asset Finance is part of a Nordic financial services environment where technology, data, and business expertise come together to deliver leasing and financing solutions. A career with us is an opportunity to join a collaborative community where we are committed to teaming up, owning it, and being open as we modernize our platforms, strengthen governance, and build a future-ready data foundation for customers, colleagues, and society.

You will: Produce and maintain a common logical data model for Asset Finance across products, customers, agreements, assets, finance, reporting and related domains. Document each Asset Finance system data model and map it to the common logical data model. Map key Asset Finance business process steps to the data entities they consume, produce, update or share.

Define the long-term system of record and ownership for each entity, including post co-existence responsibilities. Maintain a prioritised list of co-existence-impacted data entities, with focus on customer-facing and asset-user-facing entities. Define and refine data products for high-priority entities, covering purpose, consumers, ownership, quality, lineage, access and delivery patterns.

Ensure data models and products align with governance, security, privacy, regulatory and data management frameworks. Collaborate with architects, engineers, product owners, data owners, business stakeholders and consumers to ensure practical, reusable and business-fit solutions.

About you

Experience with logical and conceptual data modelling, entity relationship modelling, data mapping and documentation of complex system landscapes. Ability to translate business processes, terminology and reporting needs into clear data entities, attributes, relationships and ownership decisions. Experience with cloud data platforms, preferably AWS and Databricks, with understanding of data products, data mesh or governed self-service data concepts.

Good understanding of data lineage, metadata management, data quality, access control and regulatory expectations for trusted enterprise data. Ability to work with technical and non-technical stakeholders, turning ambiguity into structured documentation and delivery plans. Strong communication and collaboration skills, with Upper-Intermediate English language skills or higher.

Experience in banking, leasing, financial services or other regulated industries is an advantage. Your contract title will be Data Engineering/Data Modelling Specialist. We offer: Monthly salary range from 4080 EUR to 6120 EUR gross (based on your competencies relevant for the job). Additionally, each Danske Bank employee receives employee benefits package which includes: Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl.

professional certificates); 100+ professions for internal mobility opportunities. Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms. Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.

Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank. Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.

See all the benefits HERE. Your job function (position) in the job contract will be Data Science If you're interested in this role and joining my team, feel free to contact me via email igiv@danskebank.lt, and I will answer your questions! – Ignas Ivoska